I am a PhD candidate at the University of Washington in the School of Environmental and Forest Sciences. Generally, I am interested in developing and experimenting with spatial and spatio-temporal modeling strategies to predict and map forest variables using remotely sensed information. Most of the projects I’ve been a part of have focused on exploring the potential for LiDAR (either air- or space-borne) to predict forest biomass, stem density, tree height and other structural variables.
My dissertation research is focused on developing and comparing design- and model-based methods that couple field and remote sensing data to estimate forest carbon storage for Alaska’s Tanana Valley and Kenai Peninsula. Results from this research will lead to the development of forest carbon monitoring procedures for Alaska’s vast forested landscape.